Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/13843
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dc.contributor.authorKleineberg, Kaj-Kolja-
dc.contributor.authorPapadopoulos, Fragkiskos Παπαδόπουλος, Φραγκίσκος-
dc.date.accessioned2019-05-31T07:24:50Z-
dc.date.available2019-05-31T07:24:50Z-
dc.date.issued2019-01-25-
dc.identifier.citationPhysical Review E, 2009, vol. 99, no. 1, pp. 012322-1 - 012322-18en_US
dc.identifier.issn2470-0045-
dc.description.abstract© 2019 American Physical Society. Recent progress towards unraveling the hidden geometric organization of real multiplexes revealed significant correlations across the hyperbolic node coordinates in different network layers, which facilitated applications like translayer link prediction and mutual navigation. But, are geometric correlations alone sufficient to explain the topological relation between the layers of real systems? Here, we provide the negative answer to this question. We show that connections in real systems tend to persist from one layer to another irrespective of their hyperbolic distances. This suggests that in addition to purely geometric aspects, the explicit link formation process in one layer impacts the topology of other layers. Based on this finding, we present a simple modification to the recently developed geometric multiplex model to account for this effect, and show that the extended model can reproduce the behavior observed in real systems. We also find that link persistence is significant in all considered multiplexes and can explain their layers' high edge overlap, which cannot be explained by coordinate correlations alone. Furthermore, by taking both link persistence and hyperbolic distance correlations into account, we can improve translayer link prediction. These findings guide the development of multiplex embedding methods, suggesting that such methods should account for both coordinate correlations and link persistence across layers.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofPhysical Review Een_US
dc.subjectData Analysisen_US
dc.subjectStatistics and Probabilityen_US
dc.subjectPhysics and Societyen_US
dc.titleLink persistence and conditional distances in multiplex networksen_US
dc.typeArticleen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationComputational Social Scienceen_US
dc.subject.categoryElectrical Engineering - Electronic Engineering - Information Engineeringen_US
dc.journalsSubscription Journalen_US
dc.countryCyprusen_US
dc.countrySwitzerlanden_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1103/PhysRevE.99.012322en_US
dc.identifier.pmid99en
dc.identifier.scopus2-s2.0-85060812118en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85060812118en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.relation.issue1en
dc.relation.volume99en
cut.common.academicyear2018-2019en_US
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.languageiso639-1other-
crisitem.author.deptDepartment of Electrical Engineering, Computer Engineering and Informatics-
crisitem.author.facultyFaculty of Engineering and Technology-
crisitem.author.orcid0000-0002-4072-5781-
crisitem.author.parentorgFaculty of Engineering and Technology-
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